| A poroelastic model coupled to a fluid network with applications in lung modelling L Berger, R Bordas, K Burrowes, V Grau, S Tavener, D Kay International journal for numerical methods in biomedical engineering 32 (1), 2016 | 89 | 2016 |
| Stabilized lowest-order finite element approximation for linear three-field poroelasticity L Berger, R Bordas, D Kay, S Tavener SIAM Journal on Scientific Computing 37 (5), A2222-A2245, 2015 | 67 | 2015 |
| A stabilized finite element method for finite-strain three-field poroelasticity L Berger, R Bordas, D Kay, S Tavener Computational Mechanics, 1-18, 2017 | 55 | 2017 |
| Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume … ER Hyde, LU Berger, N Ramachandran, A Hughes-Hallett, NP Pavithran, ... International journal of computer assisted radiology and surgery 14, 723-732, 2019 | 49 | 2019 |
| An adaptive sampling scheme to efficiently train fully convolutional networks for semantic segmentation L Berger, H Eoin, MJ Cardoso, S Ourselin Medical Image Understanding and Analysis: 22nd Conference, MIUA 2018 …, 2018 | 40 | 2018 |
| Robotic-assisted laparoscopic partial nephrectomy in a horseshoe kidney. A case report and review of the literature A Raman, T Kuusk, ER Hyde, LU Berger, A Bex, F Mumtaz Urology 114, e3-e5, 2018 | 34 | 2018 |
| Interpretable fully convolutional classification of intrapapillary capillary loops for real-time detection of early squamous neoplasia LC Garcia-Peraza-Herrera, M Everson, W Li, I Luengo, L Berger, ... arXiv preprint arXiv:1805.00632, 2018 | 10 | 2018 |
| Surgeon knowledge of the pulmonary arterial system and surgical plan confidence is improved by interactive virtual 3D-CT models of lung cancer patient anatomies K Bhakhri, ER Hyde, SM Mak, LU Berger, S Ourselin, T Routledge, A Billè Frontiers in Surgery 8, 652428, 2021 | 9 | 2021 |
| A Low Order Finite Element Method for Poroelasticity with Applications to Lung Modelling L Berger arXiv preprint arXiv:1609.06892, 2016 | 8 | 2016 |
| Interactive virtual 3D image reconstruction to assist renal surgery in patients with fusion anomalies of the kidney N Morka, L Berger, E Hyde, F Mumtaz, R Barod, P Patki, N Graafland, ... Journal of Clinical Urology 16 (4), 340-343, 2023 | 3 | 2023 |
| How to control the learning rate of adaptive sampling schemes L Berger, E Hyde, N Pavithran, F Mumtaz, F Bragman, MJ Cardoso, ... | 3 | 2018 |
| Understanding the interdependence between parenchymal deformation and ventilation in obstructive lung disease LU Berger, R Bordas, K Burrowes, CE Brightling, R Hartley, D Kay Am J Respir Crit Care Med 189, A2677, 2014 | 3 | 2014 |
| Boosted training of convolutional neural networks for multi-class segmentation L Berger, E Hyde, M Gibb, N Pavithran, G Kelly, F Mumtaz, S Ourselin arXiv preprint arXiv:1806.05974, 2018 | 2 | 2018 |
| A diffusion model for detecting and classifying vesicle fusion and undocking events L Berger, M Mirmehdi, S Reed, J Tavaré Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012, 329-336, 2012 | 2 | 2012 |
| Clinical experience of using virtual 3D modelling for pre and intraoperative guidance during robotic-assisted partial nephrectomy L Berger, A Gulamhusein, E Hyde, M Gibb, T Kuusk, J Neves, P Silva, ... Journal of Clinical Urology 15 (4), 323-330, 2022 | 1 | 2022 |
| Complex open pyeloplasty in a pelvic kidney J Aquilina, JB Neves, L Berger, F Mumtaz, N Banga, MGB Tran Urology 141, e47-e48, 2020 | 1 | 2020 |
| Clinical experience of using 3D models for pre and intraoperative guidance during robotic-assisted partial nephrectomy A Gulamhusein, LU Berger, F Mumtaz, A Bex, R Barod, P Patki, M Tran, ... European Urology Open Science 21, S16, 2020 | | 2020 |
| Will three‐dimensional models change the way nephrometric scoring is carried out? L Berger, F Mumtaz BJU international 124 (6), 898-899, 2019 | | 2019 |
| Inertial navigation for divers LM Manus, M Brown, A Lewis, A Melnik, AM Ramos, C Brett, D Wood, ... | | 2012 |
| Subject to group comparison of fMRI data using group guided Dual Independent Component Analysis L Berger University of Oxford, 2011 | | 2011 |
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonE-mail megerősítve itt: kcl.ac.uk